{"id":"https://openalex.org/W4391952650","doi":"https://doi.org/10.1109/tce.2024.3367728","title":"Neuromorphic Vision Restoration Network for Advanced Driver Assistance System","display_name":"Neuromorphic Vision Restoration Network for Advanced Driver Assistance System","publication_year":2024,"publication_date":"2024-02-01","ids":{"openalex":"https://openalex.org/W4391952650","doi":"https://doi.org/10.1109/tce.2024.3367728"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3367728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3367728","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054639294","display_name":"Dirui Xie","orcid":"https://orcid.org/0009-0009-6185-2964"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dirui Xie","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719067","display_name":"He Xiao","orcid":"https://orcid.org/0000-0003-0769-0780"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Xiao","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087454088","display_name":"Xiaofang Hu","orcid":"https://orcid.org/0000-0003-3764-2640"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofang Hu","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034322739","display_name":"Yue Zhou","orcid":"https://orcid.org/0009-0006-9839-2947"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhou","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070444228","display_name":"Guangdong Zhou","orcid":"https://orcid.org/0000-0002-5824-9488"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangdong Zhou","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035048973","display_name":"Shukai Duan","orcid":"https://orcid.org/0000-0002-0040-3796"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukai Duan","raw_affiliation_strings":["College of Artificial Intelligence, Southwest University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054639294"],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":1.6429,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83015505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":"1","first_page":"3658","last_page":"3668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.8939886689186096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5165075659751892},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4020179212093353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34797754883766174},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.3337591290473938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.318511426448822}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.8939886689186096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5165075659751892},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4020179212093353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34797754883766174},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3337591290473938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.318511426448822}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3367728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3367728","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2152130785","display_name":null,"funder_award_id":"61976246","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2816725917","display_name":null,"funder_award_id":"CSTB2023NSCQ-MSX0018","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G5602616428","display_name":null,"funder_award_id":"SWU-KR22046","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G571593048","display_name":null,"funder_award_id":"U20A20227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1987444808","https://openalex.org/W2011181254","https://openalex.org/W2054814429","https://openalex.org/W2102166818","https://openalex.org/W2114770744","https://openalex.org/W2128254161","https://openalex.org/W2133665775","https://openalex.org/W2135089338","https://openalex.org/W2184334976","https://openalex.org/W2256362396","https://openalex.org/W2466666260","https://openalex.org/W2513917688","https://openalex.org/W2559264300","https://openalex.org/W2566376500","https://openalex.org/W2735974062","https://openalex.org/W2740982616","https://openalex.org/W2769986739","https://openalex.org/W2779176852","https://openalex.org/W2792208628","https://openalex.org/W2884068670","https://openalex.org/W2912435603","https://openalex.org/W2913360047","https://openalex.org/W2941547246","https://openalex.org/W2948354154","https://openalex.org/W2948606054","https://openalex.org/W2949187370","https://openalex.org/W2963928582","https://openalex.org/W2968914808","https://openalex.org/W2981380309","https://openalex.org/W2997753998","https://openalex.org/W3034347506","https://openalex.org/W3034573343","https://openalex.org/W3035250394","https://openalex.org/W3035326127","https://openalex.org/W3038573177","https://openalex.org/W3094502228","https://openalex.org/W3119564319","https://openalex.org/W3121661546","https://openalex.org/W3127476505","https://openalex.org/W3138516171","https://openalex.org/W3151134227","https://openalex.org/W3167082280","https://openalex.org/W3206486754","https://openalex.org/W4205363571","https://openalex.org/W4210690304","https://openalex.org/W4225672218","https://openalex.org/W4226030837","https://openalex.org/W4292622325","https://openalex.org/W4312625691","https://openalex.org/W4312812783","https://openalex.org/W4313478540","https://openalex.org/W4316661158","https://openalex.org/W4361986677","https://openalex.org/W4376481380","https://openalex.org/W4378194661","https://openalex.org/W4381827750","https://openalex.org/W4385245566","https://openalex.org/W4385267257","https://openalex.org/W4386075800","https://openalex.org/W4386590230","https://openalex.org/W4386736788","https://openalex.org/W4388452252","https://openalex.org/W4390872514","https://openalex.org/W4390874124","https://openalex.org/W6754146604","https://openalex.org/W6755037456","https://openalex.org/W6771571646","https://openalex.org/W6772230799","https://openalex.org/W6780310106","https://openalex.org/W6788135285","https://openalex.org/W6802053140"],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W4389237622","https://openalex.org/W3108691306","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4214914769","https://openalex.org/W4387251107","https://openalex.org/W2166309310","https://openalex.org/W4317717548","https://openalex.org/W4297621941"],"abstract_inverted_index":{"Adverse":[0],"weather":[1],"conditions":[2],"severely":[3],"impact":[4],"the":[5,10,34,63,116,125,129,151,160,177],"environmental":[6],"perception":[7],"capabilities":[8],"of":[9,37,68,153,166,181],"Advanced":[11],"Driver":[12],"Assistance":[13],"System":[14],"(ADAS).":[15],"However,":[16],"it":[17],"is":[18],"difficult":[19],"to":[20,53,62,109],"deploy":[21],"these":[22,87],"high-performance":[23],"Transformers":[24],"for":[25,78],"image":[26,73,105,136,141,143],"restoration":[27,74,106,137],"on":[28,43,120,134],"resources":[29],"constrained":[30],"ADAS":[31],"platform.":[32],"Recently,":[33],"rapid":[35],"development":[36],"neuromorphic":[38,121],"computing":[39,122],"systems":[40],"(NSC),":[41],"based":[42,119],"fast":[44],"in-memory":[45],"computing,":[46],"provide":[47],"an":[48],"ideal":[49],"and":[50,57,66,82,145,169,179],"feasible":[51],"solution":[52],"it.":[54],"Combining":[55],"transformers":[56],"NSC":[58],"faces":[59],"challenges":[60],"due":[61],"high":[64],"complexity":[65,127],"outliers":[67],"Softmax":[69,110,167],"attention.":[70],"Moreover,":[71],"existing":[72,163],"networks":[75],"mostly":[76],"designed":[77],"a":[79,91],"single":[80],"task":[81],"lack":[83],"generalization.":[84],"To":[85],"address":[86],"issues,":[88],"we":[89,114],"propose":[90,115],"neuromorphic-computing-friendly":[92],"Linear":[93],"Sparse":[94],"Transformer":[95],"(LSFormer)":[96],"with":[97],"linear":[98],"computational":[99],"complexity.":[100],"The":[101,147],"LSFormer":[102,133,154],"achieves":[103],"advanced":[104],"performance":[107,152],"compared":[108],"attention":[111,168],"Transformers.":[112],"Meanwhile,":[113],"implementation":[117],"scheme":[118,172],"systems,":[123],"reducing":[124],"deployment":[126],"at":[128],"edge.":[130],"We":[131],"evaluate":[132],"multiple":[135],"tasks":[138],"including":[139],"low-light":[140],"enhancement,":[142],"deraining,":[144],"dehazing.":[146],"results":[148],"demonstrates":[149],"that":[150],"outperforms":[155],"state-of-the-art":[156],"(SOTA)":[157],"networks.":[158],"Furthermore,":[159],"comparison":[161],"between":[162],"hardware":[164],"implementations":[165],"our":[170,182],"proposed":[171,183],"using":[173],"various":[174],"metrics":[175],"validates":[176],"feasibility":[178],"superiority":[180],"scheme.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}